{"id":"W4313499926","doi":"10.3390/microorganisms11010133","title":"Distinct Microbiotas Are Associated with Different Production Lines in the Cutting Room of a Swine Slaughterhouse","year":2023,"lang":"en","type":"article","venue":"Microorganisms","topic":"Probiotics and Fermented Foods","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"F. Ménard (Canada); Université de Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Raw meat; Food spoilage; 16S ribosomal RNA; Food science; Meat packing industry; Development environment; Bacteria; Computer science; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002675951,0.0002800238,0.0004069721,0.0006993418,0.0005055667,0.0006925962,0.0001781153,0.0003603923,0.0008898676],"category_scores_gemma":[0.0004653789,0.0002954654,0.00037598,0.0006022732,0.0004686898,0.0002924803,0.0006587816,0.0002680059,0.0001601837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868896,"about_ca_system_score_gemma":0.0003555576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004185931,"about_ca_topic_score_gemma":0.01070288,"domain_scores_codex":[0.9995776,0.00005337789,0.00002918779,0.0001594437,0.00006925634,0.0001112074],"domain_scores_gemma":[0.9995467,0.00006504136,0.0001816436,0.00002492956,0.00005196034,0.0001297001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007707356,0.0001860744,0.8563029,0.00004767779,0.00006081367,0.0004133086,0.001482698,0.0001626703,0.1341628,0.00002277592,0.00006840113,0.006319257],"study_design_scores_gemma":[0.000002391226,0.0001566554,0.9975106,0.000003828182,0.00001424187,0.0001040472,0.0008313546,0.0001690255,0.001147678,0.000009930184,0.00004477608,0.000005523481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997678,0.00001633653,0.0001103939,0.000003802719,8.961474e-7,0.000003216501,0.00004021752,0.00000237346,0.00005479189],"genre_scores_gemma":[0.999062,0.00003662893,0.000514948,0.00001209505,0.000002093743,0.000006654517,0.0001972643,0.000004205489,0.0001641188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004185931,"threshold_uncertainty_score":0.008323133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713818819997971,"score_gpt":0.1994738072924391,"score_spread":0.1823356190924594,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}